Revista: | Computación y sistemas |
Base de datos: | |
Número de sistema: | 000560711 |
ISSN: | 1405-5546 |
Autores: | López Ramírez, Blanca C1 Chable Moreno, Francisco2 Cervantes Ortiz, Francisco2 |
Instituciones: | 1Tecnológico Nacional de México, Departamento de Sistemas y Computación, Ciudad de México. México 2Tecnológico Nacional de México, Instituto Tecnológico de Roque, Ciudad de México. México |
Año: | 2022 |
Periodo: | Abr-Jun |
Volumen: | 26 |
Número: | 2 |
Paginación: | 1069-1080 |
País: | México |
Idioma: | Inglés |
Tipo de documento: | Artículo |
Resumen en inglés | Data science is an area that allows a gathering of data from several prospects, being at once, collaborative and multidisciplinary. It is an area so promising and open to research from different problems, including the challenges of agronomy science throughout the study of the exploitation of database knowledge. In this work, we will study if it is possible to identify some determined variable that could allow to response to the questions, ¿Is it possible to know the genotype from a habanero pepper plant, knowing some plant measure? also, ¿Is it possible to identify the yield through the plant height? The goal is to identify the proficiency of each one of the involved areas on the preparation, processing, and database, as the necessary methods and tools to gather relevant information to the expertise; derivable from techniques as Neural Networks Algorithms and Statistics. The outcome earned, prove even tho the statistics operations revealed results by a descriptive category besides a predictive one; The Neural Networks Algorithms find results within the prescriptive category, displayed on work and that represent a very interesting answer resulting from applying questions that were not obviously in basic analysis. |
Disciplinas: | Ciencias de la computación |
Palabras clave: | Inteligencia artificial |
Keyword: | Artificial intelligence |
Texto completo: | Texto completo (Ver HTML) Texto completo (Ver PDF) |